A statistical estimator is consistent when it converges in probability to the target parameter as the sample size tends to infinity.
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In statistics, **consistency** refers to a desirable property of an estimator. An estimator is said to be consistent if, as the sample size increases, it converges in probability to the true value of the parameter being estimated.